1. Akaike, H.: Information theory and an extension of the maximum likelihood principle. In: Second International Symposium on Information Theory, Tsahkadsor, 1971, pp. 267–281. Akadémiai Kiadó, Budapest (1973)
2. Autin, F.: Maxiset for density estimation on ℝ. Math. Methods Stat. 15(2), 123–145 (2006)
3. Autin, F.: Maxisets for μ-thresholding rules. Test 17(2), 332–349 (2008)
4. Autin, F., Picard, D., Rivoirard, V.: Large variance Gaussian priors in Bayesian nonparametric estimation: a maxiset approach. Math. Methods Stat. 15(4), 349–373 (2006)
5. Baraud, Y.: Model selection for regression on a fixed design. Probab. Theory Relat. Fields 117(4), 467–493 (2000)